Reproducible Finance with R, 9781138484030
Paperback
The intended audience is leaders at financial institutions who want to build data science practices, analysts at financial institutions who want to work on data science teams, students/aspiring professionals who want work in finance and anyone who has foreseen that Excel skills are not enough to be …

Reproducible Finance with R

code flows and shiny apps for portfolio analysis

$124.80

  • Paperback

    248 pages

  • Release Date

    8 October 2018

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Summary

Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at reproduciblefinance.com. The ideal reader works in finance or wants to work in finance an…

Book Details

ISBN-13:9781138484030
ISBN-10:1138484032
Author:Jonathan K. Regenstein, Jr.
Publisher:Taylor & Francis Ltd
Imprint:CRC Press
Format:Paperback
Number of Pages:248
Release Date:8 October 2018
Weight:436g
Dimensions:234mm x 156mm
Series:Chapman & Hall/CRC The R Series
What They're Saying

Critics Review

“There are two major selling points from my perspective. First, Shiny web applications are a new technology that is in high demand. It enables users to communicate data science (including financial analytics) to managers and executives. I believe this alone is a big benefit that separates this book from others. The second is that (he) takes a modern approach to using three different frameworks: xts, tidyverse, and tidyquant/tibbletime. This is refreshing because it shows that there are multiple ways to accomplish the same tasks, and it exposes the user to options that they otherwise might not have considered. Because of these two aspects, I believe that the market is for financial analysts that are seeking to learn these tools. The typical reader will have some knowledge of R (not a complete beginner) and will be hungry to use Shiny in their organization…I enjoyed reading it. I found the prose approachable and not overly technical or formal.” ~Matt Dancho, Founder, Business Science, LLC

“There are two major selling points from my perspective. First, Shiny web applications are a new technology that is in high demand. It enables users to communicate data science (including financial analytics) to managers and executives. I believe this alone is a big benefit that separates this book from others. The second is that (he) takes a modern approach to using three different frameworks: xts, tidyverse, and tidyquant/tibbletime. This is refreshing because it shows that there are multiple ways to accomplish the same tasks, and it exposes the user to options that they otherwise might not have considered. Because of these two aspects, I believe that the market is for financial analysts that are seeking to learn these tools. The typical reader will have some knowledge of R (not a complete beginner) and will be hungry to use Shiny in their organization…I enjoyed reading it. I found the prose approachable and not overly technical or formal.” ~Matt Dancho, Founder, Business Science, LLC

About The Author

Jonathan K. Regenstein, Jr.

Jonathan K. Regenstein, Jr. is the Director of Financial Services at RStudio. He studied international relations at Harvard and law at NYU, worked at JP Morgan, and did graduate work in political economy at Emory.

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